Results 191 to 200 of about 4,165 (288)

Adoption of artificial intelligence and machine learning in banking systems: a qualitative survey of board of directors. [PDF]

Front Artif Intell
Eskandarany A.
europepmc   +1 more source

Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere-a bibliometric analysis. [PDF]

Qual Quant, 2023
Biju AKVN, Thomas AS, Thasneem J.
europepmc   +1 more source

A High Throughput Platform to Minimize Voltage and Fill Factor Losses

Advanced Energy Materials, EarlyView.
A high‐throughput workflow is developed to determine the Langevin reduction factor in organic photovoltaics autonomously and accurately within seconds. Using UV–Vis spectra, current–voltage curves, and transient absorption kinetics, intrinsic charge absorption cross‐sections are calculated.
Julian Matthias Haffner‐Schirmer, Vincent Marc Le Corre, Karen Forberich, Hans Joachim Egelhaaf, Tobias Osterrieder, Jonas Wortmann, Chao Liu, Paul Weitz, Thomas Heumüller, Andreas Josef Bornschlegl, Josua Wachsmuth, Andreas Distler, Michael Wagner, Zijian Peng, Larry Lüer, Christoph Joseph Brabec   +15 more
wiley   +1 more source

Trade-off between exploration and exploitation with genetic algorithm using a novel selection operator [PDF]

, 2019
Abid Hussain, Muhammad Yousaf Shad
openalex   +1 more source

Multifactor prediction model for stock market analysis based on deep learning techniques. [PDF]

Sci Rep
Wang K.
europepmc   +1 more source

Effect of Propagating Dopant Reactivity on Lattice Oxygen Loss in LLZO Solid Electrolyte Contacted with Lithium Metal

Advanced Energy Materials, EarlyView.
The decomposition of Nb‐substituted LLZO solid electrolytes is reported through a propagating reaction between Nb5+ dopants and the Li metal electrode. This work suggests dopants that segregate to interfaces/grain boundaries in LLZO will exhibit reactivity that can propagate into bulk and shed light on new mechanisms for the problematic role of oxygen ...
Michael J. Counihan, Zachary D. Hood, Hong Zheng, Till Fuchs, Leonardo Merola, Matilde Pavan, Sebastian L. Benz, Tianyi Li, Artem Baskin, Junsoo Park, Joakim Halldin Stenlid, Xinglong Chen, Daniel P. Phelan, John W. Lawson, Justin G. Connell, Jürgen Janek, Felix H. Richter, Sanja Tepavcevic   +17 more
wiley   +1 more source

アルゴリズム取引（Algorithmic Trading）

, 2016
松本 義之
openalex   +2 more sources

Cost-efficiency trade-offs of the human brain network revealed by a multiobjective evolutionary algorithm

, 2021
Junji Ma, Jinbo Zhang, Ying Lin, Zhengjia Dai   +3 more
openalex   +1 more source

A novel decision ensemble framework: Attention-customized BiLSTM and XGBoost for speculative stock price forecasting. [PDF]

PLoS One
Din RU, Ahmed S, Khan SH, Albanyan A, Hoxha J, Alkhamees B.   +5 more
europepmc   +1 more source

Incorporating economic multipliers in a bid adjustment algorithm for public food procurement decision making

Applied Economic Perspectives and Policy, EarlyView.
Abstract We present an adjusted bid price mechanism that incorporates economic multiplier effects in public food procurement decision making. Under Input–Output model assumptions, the algorithm estimates enhanced tax revenues to state governments through multiplier effects associated with in‐state supplier purchasing.
Todd M. Schmit, Xiaoyan Liu
wiley   +1 more source